Charles M Dollbaum
- Co-authors
- David T. ZavaHelene S. SmithChristoph RochlitzChristopher C. BenzEdison LiuGary K. ScottJames M. DodsonH. Mitchell Perry
- Topics
- Cancer Genomics and Diagnostics (3 papers)Stress Responses and Cortisol (2 papers)Hormonal and reproductive studies (2 papers)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Charles M Dollbaum
14 papers receiving 610 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 270
- Oncology 182
- Genetics 156
- Pathology and Forensic Medicine 139
- Cancer Research 120
Countries citing papers authored by Charles M Dollbaum
This map shows the geographic impact of Charles M Dollbaum's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Charles M Dollbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles M Dollbaum more than expected).
Fields of papers citing papers by Charles M Dollbaum
This network shows the impact of papers produced by Charles M Dollbaum. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Charles M Dollbaum. The network helps show where Charles M Dollbaum may publish in the future.
Co-authorship network of co-authors of Charles M Dollbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Charles M Dollbaum. A scholar is included among the top collaborators of Charles M Dollbaum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles M Dollbaum. Charles M Dollbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Urinary Deoxypyridinoline Level Reveals Bone Resorption, Predicts Fracture Risk, And Enhances the Results of Dual Energy X-ray Absorptiometry. | 0 |
| 3 | Saliva tests, part 1: clinical use, elements of testing, and guidelines for posttreatment interpretation. | 4 |
| 4 | Saliva tests, part 2: salivary hormones, hormone replacement pharmacokinetics, and the importance of timely testing. | 0 |
| 5 | Testosterone levels in an aging population: screen, measure, and restore. | 2 |
| 6 | 39 | |
| 7 | 204 | |
| 8 | 1 | |
| 9 | 22 | |
| 10 | Preliminary correlations of clinical outcome with in vitro chemosensitivity of second passage human breast cancer cells. | 24 |
| 11 | Incidence of activating ras oncogene mutations associated with primary and metastatic human breast cancer. | 130 |
| 12 | 102 | |
| 13 | Hyaluronic acid-stimulating activity in sera from the bovine fetus and from breast cancer patients. | 54 |
| 14 | Molecular lesions involved in the progression of a human breast cancer. | 30 |
| 15 | 29 | |
| 16 | 3 |
About Charles M Dollbaum
Charles M Dollbaum is a scholar working on Behavioral Neuroscience, Cancer Research and Immunology and Allergy, having authored 16 papers that have together received 649 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Stress Responses and Cortisol (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Cancer Research (120 citations), Pathology and Forensic Medicine (139 citations) and Oncology (182 citations). Charles M Dollbaum has collaborated with scholars based in United States and South Korea. Frequent co-authors include David T. Zava, Helene S. Smith, Christoph Rochlitz, Christopher C. Benz, Edison Liu, Gary K. Scott, James M. Dodson, H. Mitchell Perry, Ping Patrick and John E. Morley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Annals of Oncology and Cancer Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.